SYS 5111 Foundations and Applications of Machine Learning
3 units
Systems Science
Faculty of Engineering
The capabilities and limitations of machine learning; problem formulation; supervised and unsupervised learning techniques; deploying, monitoring, and evaluating machine learning models; storytelling and assessing the results of learning; current advances in application areas such as business, law, arts, social sciences and education.
Components:
Lecture
Requirements:
Previously Offered Terms:
Winter